Cooley_et_al_data__Agg_Nov2024_dP.csv
Bibliographic record
Abstract
<b><i>A global 'climate opportunity benefit' of regeneration: meta-analysis shows warming from soil CH</i></b><sub><i><strong>4</strong></i></sub><b><i> and N</i></b><sub><i><strong>2</strong></i></sub><b><i>O is small in forests relative to agriculture</i></b>Savannah S. Cooley<sup>1*</sup>, Elisabeth Moore<sup>1</sup>, Jianna Martinez<sup>1</sup>, Jocelyn Fahlen<sup>1</sup>, Erin Maybach<sup>1</sup>, Maya Gollerkeri<sup>1</sup>, Anjali Rao Vasa<sup>1</sup>, Sian Kou-Giesbrecht<sup>2</sup>, Alexandra M. Huddell<sup>3</sup>, Linnea Norton<sup>1</sup>, Kerry Cawse-Nicholson<sup>4</sup>, Ruth DeFries<sup>1</sup>, Maria Uriarte<sup>1</sup>, Duncan N.L. Menge<sup>1</sup><sup>1</sup> Department of Ecology, Evolution and Environmental Biology, Columbia University<sup>2</sup> Department of Earth and Environmental Sciences, Dalhousie University<sup>3</sup> Department of Department of Plant and Soil Sciences, University of Delaware<sup>4</sup> NASA Jet Propulsion Laboratory, California Institute of Technology<br>* Corresponding author: sc4751@columbia.edu<b>Abstract</b>Global assessments of ecosystem regeneration as a climate mitigation strategy have traditionally focused on CO<sub>2</sub>, despite the acknowledgement that methane (CH<sub>4</sub>) and nitrous oxide (N<sub>2</sub>O) are also important greenhouse gasses (GHGs). We conducted a meta-analysis of studies that measured soil CH<sub>4</sub> and N<sub>2</sub>O fluxes in unmanaged regenerating forested and savanna ecosystems, with a focus on understanding biome-specific differences in these GHG fluxes compared to a counterfactual of agricultural land use. We expected most regenerating ecosystems to act as small CH<sub>4 </sub>sinks and relatively larger N<sub>2</sub>O sources, with a net warming combined CH<sub>4</sub>-N<sub>2</sub>O effect. Three of the five forested biomes we studied followed this pattern: subtropical/tropical forest, subtropical/tropical savanna and temperate conifer forest (0.98 ± 0.44, 0.23 ± 0.07, and 0.63 ± 0.37 Mg CO<sub>2</sub>e ha<sup>-1</sup> yr<sup>-1</sup>, respectively). Results suggest that even after 100 years of regeneration, the radiative cooling of the climate from CO<sub>2</sub> sequestration still exceeds the radiative warming driven by the net CH<sub>4</sub>-N<sub>2</sub>O effect among all ecosystems on average globally. We also found that the “climate opportunity benefit” of ecosystem regeneration—the difference of the net CH<sub>4</sub>-N<sub>2</sub>O effects of agriculture vs. regeneration—yields a net cooling effect for all biomes. However, our results underscore that it is unsound to use ecosystem regeneration as a justification for the continuation of fossil fuel emissions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.932 | 0.994 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".